Postdoctoral fellow
Alfredo is developing modular systems for robotics manufacturing, with the aim of realising reconfigurable functional products by self-assembly of small programmable units.
PhD student
Sarini is using Machine Learning approaches to detect and predict defects in Additive Manufacturing (L-PBF) builds based on photodiode measurements collected during the build process.
PhD student
Galo is developing statistical and unsupervised learning tools to identify defects in Additive Manufacturing (L-PBF) builds based on photodiode measurements collected during the build process.
PhD student
Olivia is developing new design (and design tools) for soft robotic actuators, with the aim of simplifying automation of chemistry labs.
PhD student
Lupo is developing dexterous manipulators to handle labware in Chemistry lab without requiring advanced sensing.
PhD student
Sam is developing assistive robotic device to assist the rehabilitation process of patients who have suffered from stroke and other neurological conditions.
PhD student
Peter is working on the design of the next generation of paedriatric powered wheelchair, to enhance independence and safety of disabled children.
PhD student
Nikhil is developing a virtual assistant that, by using motionless motion tracking from depth cameras, can enable frail patients to perform rehabilitation exercises without constant supervision by a therapist.
PhD student
Omar is developing minimally-invasive wearable sensors to monitor sleep positions to prevent occurrence of musculo-skeletal issues.